Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Introducing CodeCapy: the only PR bot that actually tests your code - an open-source GitHub app that generates end-to-end UI tests based on code changes and executes tests autonomously in isolated Scrapybara Ubuntu desktops. Try CodeCapy for your repos with the link below!

scrapybara's profile picture

Scrapybara

3,048 subscribers

18,254 görüntüleme • 1 yıl önce •via X (Twitter)

OyunBilim & TeknolojiEğitim
LIVE

Anya Rossi• Live Now

Private livecam show

9 Yorum

Scrapybara profil fotoğrafı
Scrapybara1 yıl önce

Check out the repo here, stars and contributions welcome!

Semaphore profil fotoğrafı
Semaphore1 yıl önce

Jenkins is a classic. Semaphore Open Source is the next step. Built for speed. Designed for simplicity. Ready to see what’s next for CI/CD? Discover more:

justin profil fotoğrafı
justin1 yıl önce

it's finally alive 🥹

jonathan liu profil fotoğrafı
jonathan liu1 yıl önce

all the other QA automation tools that use AI better watch out 😤

daniel profil fotoğrafı
daniel1 yıl önce

Huge

vly.ai profil fotoğrafı
vly.ai1 yıl önce

Huge stuff

Crispy profil fotoğrafı
Crispy1 yıl önce

Sick

Ujjwal 𝕏 profil fotoğrafı
Ujjwal 𝕏1 yıl önce

@ycombinator Interesting

. profil fotoğrafı
.1 yıl önce

🔥

Benzer Videolar

✂️ Introducing: Shortest! Shortest is an open-source AI-powered testing framework that allows developers to write end-to-end tests in plain English, as simple as: shortest(“user can sign up and create a $5 product”) More tests = fewer regressions as AI writes and ships code.
0:47

✂️ Introducing: Shortest! Shortest is an open-source AI-powered testing framework that allows developers to write end-to-end tests in plain English, as simple as: shortest(“user can sign up and create a $5 product”) More tests = fewer regressions as AI writes and ships code.

Sahil Lavingia

722,352 görüntüleme • 1 yıl önce

Introducing Capy The agent that plans, builds, tests, and reviews your code - all in the cloud Multiplayer on web, mobile, and Slack
1:09

Introducing Capy The agent that plans, builds, tests, and reviews your code - all in the cloud Multiplayer on web, mobile, and Slack

Capy

111,821 görüntüleme • 2 ay önce

Stop writing tests. Start describing them. KaneAI converts natural language into end-to-end tests in seconds. ✔ JIRA / PDF / video uploads ✔ Self-healing UI tests ✔ GitHub PR-based test creation ✔ API & backend validation Modern testing, powered by GenAI Give it a try : Follow #AITesting #KaneAI #DevOps #QualityEngineering
1:11

Stop writing tests. Start describing them. KaneAI converts natural language into end-to-end tests in seconds. ✔ JIRA / PDF / video uploads ✔ Self-healing UI tests ✔ GitHub PR-based test creation ✔ API & backend validation Modern testing, powered by GenAI Give it a try : Follow #AITesting #KaneAI #DevOps #QualityEngineering

Marry claire

25,653 görüntüleme • 4 ay önce

Introducing Teleo: an AI agent with a virtual computer that lives on your desktop. See it in action reading docs and writing Python from what it learns Teleo is open source and WIP, contributions welcome (link below) Also check out some of our other cool demos from today below
0:36

Introducing Teleo: an AI agent with a virtual computer that lives on your desktop. See it in action reading docs and writing Python from what it learns Teleo is open source and WIP, contributions welcome (link below) Also check out some of our other cool demos from today below

Scrapybara

43,625 görüntüleme • 1 yıl önce

🚨 Your test cases shouldn’t break every time your UI changes. KaneAI writes, runs, and self-heals end-to-end tests directly from natural language built for real QA teams, not toy demos. From JIRA tickets to production-ready test code.
1:25

🚨 Your test cases shouldn’t break every time your UI changes. KaneAI writes, runs, and self-heals end-to-end tests directly from natural language built for real QA teams, not toy demos. From JIRA tickets to production-ready test code.

Darshal Jaitwar

70,504 görüntüleme • 4 ay önce

GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...
0:55

GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...

Visual Studio Code

82,442 görüntüleme • 1 yıl önce

Introducing - Search Engine for Developers! Answers all your coding questions and runs code directly in the app. Free and open-source. App link below👇
0:40

Introducing - Search Engine for Developers! Answers all your coding questions and runs code directly in the app. Free and open-source. App link below👇

Exa

43,152 görüntüleme • 10 ay önce

TesterArmy is the simplest way to QA your website or mobile app. It runs real tests across browsers and devices, catches regressions on every PR, generates tests from natural language, and much more. Try now and start testing in minutes: TesterArmy (YC P26)
1:30

TesterArmy is the simplest way to QA your website or mobile app. It runs real tests across browsers and devices, catches regressions on every PR, generates tests from natural language, and much more. Try now and start testing in minutes: TesterArmy (YC P26)

Y Combinator

103,840 görüntüleme • 8 gün önce

To edit the code of a Lovable app: 1. Connect your app to GitHub and open in any code editor. 2. Make your edits in the code editor. 3. Push the changes The updates will automatically reflect in your app.
0:56

To edit the code of a Lovable app: 1. Connect your app to GitHub and open in any code editor. 2. Make your edits in the code editor. 3. Push the changes The updates will automatically reflect in your app.

Lovable

20,897 görüntüleme • 1 yıl önce

We will be releasing an AGW CLI tool soon that allows your agents to easily interact with Abstract apps. In this demo below, you can see the end to end flow of Claude Code upvoting the top app on Abstract autonomously.
0:58

We will be releasing an AGW CLI tool soon that allows your agents to easily interact with Abstract apps. In this demo below, you can see the end to end flow of Claude Code upvoting the top app on Abstract autonomously.

cygaar

18,785 görüntüleme • 2 ay önce

Can't overstate how cool self-testing is in Agent 3. Here's a shot of Replit running end-to-end UI tests on a whiteboard app. It tests out the different tools, the undo button, and even sends a chat.
0:22

Can't overstate how cool self-testing is in Agent 3. Here's a shot of Replit running end-to-end UI tests on a whiteboard app. It tests out the different tools, the undo button, and even sends a chat.

matt palmer

63,239 görüntüleme • 8 ay önce

what if your end-to-end tests: → were generated by agents → auto-fix as the app changes → run without AI involved » npx agent-device@latest
0:25

what if your end-to-end tests: → were generated by agents → auto-fix as the app changes → run without AI involved » npx agent-device@latest

Michał Pierzchała

21,898 görüntüleme • 3 ay önce

The first open-source implementation of the paper that will change automatic test generation is now available! In February, Meta published a paper introducing a tool to automatically increase test coverage, guaranteeing improvements over an existing code base. This is a big deal, but Meta didn't release the code. Fortunately, we now have Cover-Agent, an open-source tool you can install that implements Meta's paper to generate unit tests automatically: I recorded a quick video showing Cover-Agent in action. There are two things I want to mention: 1. Automatically generating unit tests is not new, but doing it right is difficult. If you ask ChatGPT to do it, you'll get duplicate, non-working, and meaningless tests that don't improve your code. Meta's solution only generates unique tests that run and increase code coverage. 2. People who write tests before writing the code (TDD) will find this less helpful. That's okay. Not everyone does TDD, but we all need to improve test coverage. There are many good and bad applications of AI, but this is one I'm looking forward to make part of my life.
1:05

The first open-source implementation of the paper that will change automatic test generation is now available! In February, Meta published a paper introducing a tool to automatically increase test coverage, guaranteeing improvements over an existing code base. This is a big deal, but Meta didn't release the code. Fortunately, we now have Cover-Agent, an open-source tool you can install that implements Meta's paper to generate unit tests automatically: I recorded a quick video showing Cover-Agent in action. There are two things I want to mention: 1. Automatically generating unit tests is not new, but doing it right is difficult. If you ask ChatGPT to do it, you'll get duplicate, non-working, and meaningless tests that don't improve your code. Meta's solution only generates unique tests that run and increase code coverage. 2. People who write tests before writing the code (TDD) will find this less helpful. That's okay. Not everyone does TDD, but we all need to improve test coverage. There are many good and bad applications of AI, but this is one I'm looking forward to make part of my life.

Santiago

774,388 görüntüleme • 2 yıl önce

i'm a little sick of chatgpt giving me obviously broken code i've found a "micro agent" approach to LLM code generation can work much better the LLM first generates a *test*, and then enters a loop where it generates and iterates on the code until the tests pass source below
0:23

i'm a little sick of chatgpt giving me obviously broken code i've found a "micro agent" approach to LLM code generation can work much better the LLM first generates a *test*, and then enters a loop where it generates and iterates on the code until the tests pass source below

Steve (Builder.io)

544,125 görüntüleme • 2 yıl önce

Every operating system for your AI agent. Introducing Windows, Mac, and Browser instances for Scrapybara - instantly deploy virtual desktops for computer use agents like Operator CUA and Claude. Join our Discord to get early access to Windows. Contact us for MacOS enterprise.
1:07

Every operating system for your AI agent. Introducing Windows, Mac, and Browser instances for Scrapybara - instantly deploy virtual desktops for computer use agents like Operator CUA and Claude. Join our Discord to get early access to Windows. Contact us for MacOS enterprise.

Scrapybara

37,749 görüntüleme • 1 yıl önce

You can now run Python tests with coverage in Visual Studio Code! 🐍 Make sure you have the correct testing coverage package installed, and then you can run your tests with coverage just as you normally would.
0:28

You can now run Python tests with coverage in Visual Studio Code! 🐍 Make sure you have the correct testing coverage package installed, and then you can run your tests with coverage just as you normally would.

Visual Studio Code

49,439 görüntüleme • 1 yıl önce

How to Use KaneAI — Best Gen AI Native (FULL GUIDE) 🔥” QA Engineers & DevOps: Stop wasting 80% of your time on manual tests. KaneAI converts natural language into executable End to End tests instantly: ✅ Upload JIRA issues, PDFs, or videos → Auto-generate test cases ✅ Self-healing locators for resilient Ul tests ✅ Analyze GitHub PRs to create/update tests automatically ✅ Seamless API calls, database queries, and backend validation Transform your testing workflow today - create, debug, and evolve tests in plain English. No coding required. Ship faster with confidence! Give it a try : #AITesting #KaneAI #DevOps #QualityEngineering
0:33

How to Use KaneAI — Best Gen AI Native (FULL GUIDE) 🔥” QA Engineers & DevOps: Stop wasting 80% of your time on manual tests. KaneAI converts natural language into executable End to End tests instantly: ✅ Upload JIRA issues, PDFs, or videos → Auto-generate test cases ✅ Self-healing locators for resilient Ul tests ✅ Analyze GitHub PRs to create/update tests automatically ✅ Seamless API calls, database queries, and backend validation Transform your testing workflow today - create, debug, and evolve tests in plain English. No coding required. Ship faster with confidence! Give it a try : #AITesting #KaneAI #DevOps #QualityEngineering

Erina | AI Tools & News

45,902 görüntüleme • 4 ay önce

Test smarter and build efficiently with the Android Studio Otter 3 Feature Drop. Bring your own models to power AI assistance, run resilient UI tests that adapt to changes, turn design mocks directly into starting code, and connect tools like Figma and Notion for context. Start building 🌟 →
1:12

Test smarter and build efficiently with the Android Studio Otter 3 Feature Drop. Bring your own models to power AI assistance, run resilient UI tests that adapt to changes, turn design mocks directly into starting code, and connect tools like Figma and Notion for context. Start building 🌟 →

Google for Developers

12,646 görüntüleme • 4 ay önce

What they don't tell you about vibe coding: • Moltbook exposed 1.5M auth tokens. The owner hadn't written a single line of code. • Tea App leaked 72,000 government IDs. The database was just open, no sophisticated hack needed. • A researcher took control of a journalist's computer through her own vibe-coded game, without a single click. The code ran fine in all three cases, tests passed, reviews looked clean, and nothing raised a flag. That's the problem nobody is talking about. Teams are shipping faster than ever. AI writes the code. CI catches build failures. Tests catch regressions. Observability catches outages. But nobody is asking the one question that actually matters: What can an attacker do with this, right now? Because the bottleneck is no longer writing code. It's understanding what that code actually exposes once it's live. PR reviews miss auth edge cases. Unit tests don't probe broken access control. Staging environments don't simulate adversarial behavior. And business logic flaws look completely fine until someone decides to break them on purpose. Strix is an open-source tool that fills this gap. It reviews your running app the way an attacker would: - Crawls the app and maps every exposed route and flow - Probes abuse paths dynamically, not just at build time - Returns findings with proof-of-concepts and suggested fixes Strix was benchmarked against 200 real companies and open-source repos, where it found 600+ verified vulnerabilities including assigned CVEs. It's designed to fit into how modern teams already work. Run it before a release, after major changes, or continuously as the app evolves. If your team is shipping AI-generated code and you don't currently have a way to answer "what does this actually expose", it's worth looking at. GitHub link in the next tweet.
0:24

What they don't tell you about vibe coding: • Moltbook exposed 1.5M auth tokens. The owner hadn't written a single line of code. • Tea App leaked 72,000 government IDs. The database was just open, no sophisticated hack needed. • A researcher took control of a journalist's computer through her own vibe-coded game, without a single click. The code ran fine in all three cases, tests passed, reviews looked clean, and nothing raised a flag. That's the problem nobody is talking about. Teams are shipping faster than ever. AI writes the code. CI catches build failures. Tests catch regressions. Observability catches outages. But nobody is asking the one question that actually matters: What can an attacker do with this, right now? Because the bottleneck is no longer writing code. It's understanding what that code actually exposes once it's live. PR reviews miss auth edge cases. Unit tests don't probe broken access control. Staging environments don't simulate adversarial behavior. And business logic flaws look completely fine until someone decides to break them on purpose. Strix is an open-source tool that fills this gap. It reviews your running app the way an attacker would: - Crawls the app and maps every exposed route and flow - Probes abuse paths dynamically, not just at build time - Returns findings with proof-of-concepts and suggested fixes Strix was benchmarked against 200 real companies and open-source repos, where it found 600+ verified vulnerabilities including assigned CVEs. It's designed to fit into how modern teams already work. Run it before a release, after major changes, or continuously as the app evolves. If your team is shipping AI-generated code and you don't currently have a way to answer "what does this actually expose", it's worth looking at. GitHub link in the next tweet.

Akshay 🚀

52,267 görüntüleme • 2 ay önce